WeatherScope Pro is a sleek, interactive weather application designed to provide real-time weather data with an intuitive, modern user interface. The application delivers comprehensive weather information including current conditions, 24-hour forecasts, 5-day forecasts, and interactive maps through a professional desktop application.
Version: 9.1
Platform: Python (Desktop)
Theme: Light mode with dynamic gradient backgrounds
Key Features: Live weather data, interactive charts, visual meters, real-time clock, and map integration
- Initialized a modern desktop application using
ttkbootstrapfor enhanced visual design - Configured API integration with OpenWeatherMap for real-time weather data
- Implemented caching mechanism (300-second TTL) to optimize API calls
- Set up threading for background data fetching to prevent UI freezing
- Created a responsive, professional interface with a light theme (cosmo)
- Implemented dynamic gradient backgrounds that adapt to weather conditions
- Designed custom widgets including
GradientFrameandForecastCardfor visual consistency - Applied modern typography using Segoe UI font family throughout the application
- Added scrollable content areas for better data presentation
- Current Weather Tab: Displays real-time temperature, conditions, and visual meters for humidity, wind speed, pressure, and "feels like" temperature
- Hourly Tab: 24-hour interactive forecast with temperature visualization and tooltips
- 5-Day Forecast Tab: Daily high/low temperatures with visual cards and embedded charts
- Map Tab: Interactive map with weather location markers using TkinterMapView
- Implemented timezone offset calculations for accurate local time representation
- Created forecast data processing to calculate daily min/max temperatures from 3-hour intervals
- Developed hourly interpolation algorithm to generate smooth 24-hour forecasts
- Built suggestion engine based on weather conditions and forecasts
- Added live clock feature showing local time at the weather location
- Implemented animated value transitions for temperature changes
- Created clickable forecast cards that display detailed hourly breakdowns
- Integrated matplotlib with optional mplcursors for interactive chart tooltips
- Added hover effects on forecast cards for better user feedback
- Implemented response caching to reduce API calls
- Used threading for non-blocking API requests
- Added loading overlay with visual feedback
- Optimized matplotlib chart rendering for smooth animations
- Added comprehensive error handling for network issues, invalid cities, and API errors
- Implemented graceful degradation when optional libraries (matplotlib, mplcursors) are unavailable
- Created user-friendly error messages and status indicators
| Category | Tools |
|---|---|
| GUI Framework | ttkbootstrap, tkinter |
| API Integration | OpenWeatherMap API, requests library |
| Data Visualization | matplotlib, mplcursors |
| Mapping | tkintermapview |
| Data Processing | Python datetime, collections.Counter |
| Concurrency | threading |
| Font/Design | Segoe UI, custom color palette (#0d6efd primary blue) |
tkinter (built-in)
ttkbootstrap
requests
tkintermapview
matplotlib (optional, for charts)
mplcursors (optional, for tooltips)
pip install requests tkintermapview ttkbootstrap matplotlib mplcursors- Visit OpenWeatherMap API
- Sign up for a free account
- Generate an API key from your account dashboard
Replace YOUR_API_KEY_HERE in the script with your actual OpenWeatherMap API key:
API_KEY = "your_actual_api_key_here"python weather_dashboard.pyβ
Fully Functional Weather Dashboard - Real-time weather data from OpenWeatherMap
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Professional UI/UX - Modern, responsive interface with dynamic themes
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Multi-Tab Interface - Current, Hourly, 5-Day Forecast, and Map tabs
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Interactive Visualizations - Charts, meters, and hover tooltips
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Data Accuracy - Timezone-aware time calculations and local time display
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Performance Optimized - Caching, threading, and efficient rendering
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Error Resilience - Graceful handling of network and API errors
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User-Friendly - Intuitive search, keyboard shortcuts (Ctrl+F), and status indicators
- Enter a city name in the search box
- Press Enter or click the Search button
- Wait for data to load (watch the progress indicator)
- Current Tab: View real-time conditions and detailed weather meters
- Hourly Tab: See temperature trends over the next 24 hours
- 5-Day Tab: Plan ahead with daily forecasts; click any card for hourly details
- Map Tab: View the weather location on an interactive map
- Ctrl+F: Focus the search box for quick city search
The app provides smart recommendations based on current conditions:
- Rain alerts and umbrella reminders
- Heat warnings during extreme temperatures
- Wind advisories for outdoor activities
- UV index warnings
weather_dashboard.py # Main application file (1000+ lines)
last_city.txt # Stores last searched city (auto-created)
README.md # This file
Edit the PALETTE dictionary:
PALETTE = {
'accent': '#0d6efd', # Primary blue
'accent_soft': '#cfe2ff', # Light blue
'muted': '#6b7280', # Gray
'card_bg': '#ffffff', # White
'glass': '#ffffffcc' # Translucent white
}Modify CACHE_TTL (in seconds):
CACHE_TTL = 300 # Current: 5 minutes- Requires internet connection for API calls
- Free tier OpenWeatherMap API has rate limits
- Some features (charts) require matplotlib installation
- Map functionality depends on internet connectivity for tile server
- Multiple location comparison
- Weather alerts and notifications
- Historical weather data
- Customizable dashboard widgets
- Dark mode theme option
- Mobile app version
- Air quality and pollen data integration
Solution: Ensure you've replaced YOUR_API_KEY_HERE with a valid OpenWeatherMap API key
Solution: Check your internet connection; the map requires live tile data
Solution: Install matplotlib: pip install matplotlib
Solution: Try using the full city name or add the country code (e.g., "London, UK")
- OpenWeatherMap API: https://openweathermap.org
- ttkbootstrap: Modern tkinter theme library
- tkintermapview: Interactive map widget for tkinter